Triple
T3102667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augrabies Falls National Park |
E64755
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Augrabies Falls waterfall |
E329323
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Augrabies Falls waterfall | Statement: [Augrabies Falls National Park, knownFor, Augrabies Falls waterfall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Augrabies Falls waterfall Context triple: [Augrabies Falls National Park, knownFor, Augrabies Falls waterfall]
-
A.
Augrabies Falls
chosen
Augrabies Falls is a dramatic waterfall on the Orange River in South Africa, renowned for its powerful cascades through a rugged granite gorge.
-
B.
Witpoortjie Falls
Witpoortjie Falls is a scenic waterfall located within the Walter Sisulu National Botanical Garden in Roodepoort, South Africa.
-
C.
Tanda Falls
Tanda Falls is a scenic waterfall and popular natural getaway located near Mirzapur in Uttar Pradesh, India.
-
D.
Kwa Falls
Kwa Falls is a scenic waterfall and popular natural tourist attraction located within Nigeria’s Cross River State.
-
E.
Itanda Falls
Itanda Falls is a powerful series of white-water rapids on the Victoria Nile in Uganda, popular for rafting and kayaking.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26df128819086541db7680c8c24 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224c4e59c819084a3aa19824c1621 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:03 p.m.